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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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of the project] * Background of the recruitment and description of the project [Outline of Laboratory] Our research is within the field of Computational Neuroscience. We utilize computer models to explore how
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Universe (KMI)-PD [#31232, KMI-2025-2] Position Title: Position Type: Postdoctoral Position Location: Nagoya, Aichi 464-8602, Japan [map ] Subject Area: AI/Machine Learning / Astronomy Appl Deadline: 2025
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researcher to develop observational design and impact assessment methods, leveraging techniques such as data assimilation and machine learning. https://www.jamstec.go.jp/ccoar/e/ [Work content and job